Smart Sensing for Failure Diagnosis in Structures and Machine Components: 2nd Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 25 September 2025 | Viewed by 2947
Special Issue Editor
Interests: additively manufactured polymers; damage mechanics; maintenance engineering; asset management, polymer tribology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Catastropic performance failures in structures and machine components are always considered high risk. In the past, conventional sensing tools were used to diagnose the failure prior to any significant physical damage or reduction in performance. Failure diagnosis is now being performed in real time and in an effective manner due to the evolution in digital technologies, data communication rate, cloud storage, intelligent algorithms for big data, and virtual and augmented reality-based assessment. Sensing frameworks are now becoming smart with desired automation.
This Special Issue will provide research focusing on failure diagnosis in structures and machine components with the help of smart sensing elements and technologies. Research using both invasive and non-invasive sensing for failure diagnosis is invited.
Dr. Muhammad Khan
Guest Editor
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Keywords
- failure diagnosis
- smart sensing
- structure health monitoring
- near-real-time diagnosis
- invasive and non invasive sensing
- big data
- intelligent algorithms
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